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Cited article:

A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations

Markus Bachmayr and Manfred Faldum
Journal of Complexity 82 101839 (2024)
https://doi.org/10.1016/j.jco.2024.101839

A posteriori error analysis and adaptivity for high-dimensional elliptic and parabolic boundary value problems

Fabian Merle and Andreas Prohl
Numerische Mathematik 153 (4) 827 (2023)
https://doi.org/10.1007/s00211-023-01350-2

HT-AWGM: a hierarchical Tucker–adaptive wavelet Galerkin method for high-dimensional elliptic problems

Mazen Ali and Karsten Urban
Advances in Computational Mathematics 46 (4) (2020)
https://doi.org/10.1007/s10444-020-09797-9

Singular value decomposition versus sparse grids: refined complexity estimates

Michael Griebel and Helmut Harbrecht
IMA Journal of Numerical Analysis 39 (4) 1652 (2019)
https://doi.org/10.1093/imanum/dry039

The Optimization Landscape for Fitting a Rank-2 Tensor with a Rank-1 Tensor

Xue Gong, Martin J. Mohlenkamp and Todd R. Young
SIAM Journal on Applied Dynamical Systems 17 (2) 1432 (2018)
https://doi.org/10.1137/17M112213X

Constrained Optimization with Low-Rank Tensors and Applications to Parametric Problems with PDEs

Sebastian Garreis and Michael Ulbrich
SIAM Journal on Scientific Computing 39 (1) A25 (2017)
https://doi.org/10.1137/16M1057607

Tensor Networks and Hierarchical Tensors for the Solution of High-Dimensional Partial Differential Equations

Markus Bachmayr, Reinhold Schneider and André Uschmajew
Foundations of Computational Mathematics 16 (6) 1423 (2016)
https://doi.org/10.1007/s10208-016-9317-9